Abstract
With the innovation of supply chain, customization services in jewelry industry are thriving. Various online platforms enable users to cooperate with designers to create personalized jewelry works. Considering that normal users are not professional in 3D modeling, the actual design is conducted by others to a large extent. As a result, there is still a wide gap between users and the creative process. To solve this problem, the GemForest system is introduced in the paper, offering a more efficient and inclusive way for users to generate digital models ready for 3D printing. Combining Snowflake algorithm with Fourier transform, the system is able to automatically produce diverse geometric patterns for jewelry manufacture. Through case study, design process and usability test, we provide reference for designers dedicated to the relevant field and discuss future research directions.
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Chen, X., Shi, J. (2022). GemForest: A User-Friendly Generative Design System for Customization in Jewelry Industry. In: Ahram, T., Taiar, R. (eds) Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol 319. Springer, Cham. https://doi.org/10.1007/978-3-030-85540-6_54
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